挑战手机端真实图像超分辨率，16支团队提交有效方案。
The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
- 针对未知退化、4倍缩放的手机图像超分设计轻量模型。
- 16支队伍在图像质量与速度平衡上表现最佳。
- 适合移动端部署的真实场景超分辨率研究者参考。
本文回顾了NTIRE 2026关于移动设备上真实世界图像超分辨率的挑战赛，重点介绍了参赛方案与最终结果。挑战要求在未知退化条件下，将低分辨率图像以4倍缩放因子恢复为高分辨率图像，同时确保模型可在移动设备上运行。目标是开发高效且性能领先的网络结构或解决方案。评测采用图像质量评估（IQA）得分与加速比的加权组合。比赛共吸引108名注册参与者，最终有16支队伍获得有效排名。该协作成果推动了移动端真实图像超分辨率技术的发展，并深入呈现了该领域的最新趋势。
原文摘要 · Abstract (English)
This paper provides a review of the NTIRE 2026 challenge on mobile real-world image super-resolution, highlighting the proposed solutions and the resulting outcomes. The challenge aims to recover high-resolution (HR) images from low-resolution (LR) counterparts generated through unknown degradations with a x4 scaling factor while ensuring the models remain executable on mobile devices. The objective is to develop effective and efficient network designs or solutions that achieve state-of-the-art real-world image super-resolution performance. The track of the challenge evaluates performance using a weighted combination of image quality assessment (IQA) score and speedup ratios. The competition attracted 108 registrants, with 16 teams achieving a valid score in the final ranking. This collaborative effort advances the performance of mobile real-world image super-resolution while offering an in-depth overview of the latest trends in the field.
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